I am not a data scientist. And while I know my way around a Jupyter notebook and have written a good amount of Python code, I do not profess to be anything close to a machine learning expert. So when ...

Automated machine learning promises to speed up the process of developing AI models and make the technology more accessible. Machine-learning researchers make many decisions when designing new models.

Nearly seven years after its debut as a preview, the Visual Studio Code extension for Azure Machine Learning has hit general availability. "You can use your favorite VS Code setup, either desktop or ...

Built-in to Microsoft's flagship IDE, Visual Studio, IntelliCode is provided to the open-source-based, cross-platform VS Code editor via this Microsoft tool, which has been installed more than 27 ...

“Artificial Intelligence” as we know it today is, at best, a misnomer. AI is in no way intelligent, but it is artificial. It remains one of the hottest topics in industry and is enjoying a renewed ...

Over five billion people worldwide actively engage with AI, Metaverse, bots, machine-to-machine connected solutions, 5G, AR/VR, cryptocurrency, and blockchain. This conference will explore how digital ...

Healthcare's comfort level with artificial intelligence and machine learning models – and skill at deploying them across myriad clinical, financial and operational use cases – continued to increase in ...

New considerations are necessary as more businesses adopt machine learning at scale. In association withCapital One Nearly 75% of the world’s largest companies have already integrated AI and machine ...

Machine learning has been inducted into various domains for automation and insights. It has helped businesses grow by aiding decision-making based on data. Organizations create and deploy machine ...

Justin Chen received his PhD in Physics from Rice University before deciding to make the jump from academia to machine learning. He spent the last few years as a Machine Learning Engineer at Manifold, ...